At a Glance
- Tasks: Lead a new analytics and AI team, driving data-driven decisions across various business services.
- Company: Join Whitehall Resources, a leader in public sector transformation with a commitment to diversity.
- Benefits: Enjoy a hybrid work model with flexibility and opportunities for professional growth.
- Other info: This role requires a hands-on approach and collaboration with diverse stakeholders.
- Why this job: Be at the forefront of analytics innovation, shaping strategies that impact real-world decisions.
- Qualifications: Experience with Oracle Analytics Cloud and data product delivery in complex environments is essential.
The predicted salary is between 48000 - 84000 £ per year.
Whitehall Resources is seeking an Oracle Analytics Lead for a major public sector transformation programme based in Central London. This is a permanent role with a hybrid working model, requiring 3 days per week on-site. The successful candidate will lead a newly formed analytics and AI function, driving data-driven decision-making across HR, Finance, Commercial, and other business services.
Responsibilities include:
- Shaping analytics strategy
- Developing products with Oracle Analytics Cloud
- Leading a small team to deliver insights at scale
Requirements include:
- Hands-on experience with Oracle Analytics Cloud (OAC) and Oracle Fusion Data Intelligence
- Background in data product delivery in complex environments
- Experience with Oracle ERP/HCM Cloud or Oracle eBusiness Suite
- Strong skills in data modelling, dashboard development, and reporting
- Knowledge of ETL, data pipelines, and cloud integration tools like Oracle Integration Cloud
- Leadership experience and ability to collaborate with stakeholders
Desirable qualities include:
- Ownership of analytics, AI, and reporting product roadmaps
- Participation in high-impact transformation programmes
- Advocacy for data governance, literacy, and evidence-based decisions
If interested, please apply.
Note: Applicants must be eligible to work in the specified location. Whitehall Resources is an equal opportunity employer committed to diversity and inclusion. All qualified applicants will receive consideration without discrimination based on race, religion, gender identity, sexual orientation, national origin, pregnancy, disability, age, veteran status, or other characteristics.
Oracle Analytics Lead in Hounslow employer: Whitehall Resources Ltd
Whitehall Resources is an exceptional employer, offering a dynamic work environment in North West London where innovation meets public sector transformation. With a strong commitment to employee growth, you will have the opportunity to lead a cutting-edge analytics and AI function while enjoying a hybrid working model that promotes work-life balance. Our inclusive culture fosters collaboration and diversity, ensuring that every team member's voice is heard and valued as we drive impactful data-driven decisions together.
StudySmarter Expert Advice🤫
We think this is how you could land Oracle Analytics Lead in Hounslow
✨Tip Number 1
Familiarise yourself with Oracle Analytics Cloud (OAC) and its features. Since this role requires hands-on experience, consider exploring online tutorials or webinars to deepen your understanding of OAC functionalities.
✨Tip Number 2
Network with professionals in the field of data analytics and Oracle products. Attend industry meetups or join relevant online forums to connect with others who may provide insights or even referrals for the position.
✨Tip Number 3
Showcase your leadership skills by participating in group projects or initiatives that involve data-driven decision-making. Highlight any experiences where you've led a team or collaborated with stakeholders to achieve common goals.
✨Tip Number 4
Stay updated on trends in data governance and analytics. Follow thought leaders in the industry on social media and read relevant articles to discuss these topics during interviews, demonstrating your passion and knowledge.
We think you need these skills to ace Oracle Analytics Lead in Hounslow
Some tips for your application 🫡
Understand the Role:Before applying, make sure to thoroughly read the job description for the Oracle Analytics Lead position. Understand the key responsibilities and required skills, such as experience with Oracle Analytics Cloud and data product delivery.
Tailor Your CV:Customise your CV to highlight relevant experience and skills that align with the job requirements. Emphasise your hands-on experience with Oracle Analytics Cloud, data modelling, and any leadership roles you've held.
Craft a Compelling Cover Letter:Write a cover letter that showcases your passion for data-driven decision-making and your ability to lead analytics teams. Mention specific examples of how you've contributed to similar projects in the past.
Highlight Relevant Projects:In your application, include details about any significant projects you've worked on that involved Oracle ERP/HCM Cloud or data governance. This will demonstrate your capability to handle the responsibilities of the role effectively.
How to prepare for a job interview at Whitehall Resources Ltd
✨Showcase Your Technical Skills
Make sure to highlight your hands-on experience with Oracle Analytics Cloud and any relevant tools. Be prepared to discuss specific projects where you've successfully implemented data modelling, dashboard development, or reporting.
✨Demonstrate Leadership Experience
Since this role involves leading a small team, share examples of your leadership style and how you've collaborated with stakeholders in previous roles. Discuss how you’ve driven data-driven decision-making in past projects.
✨Understand the Business Context
Familiarise yourself with the public sector transformation programme and how analytics can impact HR, Finance, and Commercial services. Showing that you understand the broader business implications of your work will impress the interviewers.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in complex environments. Prepare scenarios where you've had to navigate challenges in data product delivery or advocate for data governance and literacy.
